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A method and device for self-adaptive recursive denoising of image blocks

An adaptive recursion and image block technology, applied in the field of image processing, can solve the problems of noise difference, reduce the noise reduction level of the whole image, and fail to achieve the denoising effect, so as to achieve the corresponding relationship refinement and improve the adaptability. Effect

Active Publication Date: 2020-11-24
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

First, motion detection is performed on the entire image, and when motion is detected, the overall noise reduction level is reduced. This method often fails to achieve the ideal denoising effect: when motion occurs, the noise reduction level of the entire image is reduced, so that the entire image cannot reach the desired level. To achieve a better noise reduction effect, different noise reduction parameters or noise reduction methods are used between the motion frame and the still frame, so that the noise level between the two frames of images is different, so there will be obvious noise differences
However, the method of dividing the image into blocks and using different noise reduction parameters for moving blocks and static blocks will have obvious noise differences between blocks.

Method used

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  • A method and device for self-adaptive recursive denoising of image blocks
  • A method and device for self-adaptive recursive denoising of image blocks

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Embodiment 1

[0043] Such as figure 1 As shown, the present invention provides a kind of image segmentation adaptive recursive denoising method, comprises the following steps:

[0044] S1. Divide the n-th frame image x(n) into N×M sub-blocks, divide the noise reduction result y(n-1) of the n-1-th frame image into N×M sub-blocks, and N and M are preset constants ;

[0045] x(n) and y(n-1) satisfy the recursive noise reduction formula y(n)=(1-k)×x(n)+k×y(n-1), where y(n) is the nth The noise reduction result of the frame image, k is the noise reduction coefficient;

[0046] In step S1, for the first frame of image, that is, when n=1, it is necessary to calculate the variance of each sub-block in x(n), and set the initial value of the noise reduction coefficient k according to the variance, 0≤k≤1.

[0047] S2. Perform motion detection on each sub-block corresponding to x(n) and y(n-1), obtain the motion parameter m of each sub-block of x(n), and judge the sub-block of x(n) according to the ...

Embodiment 2

[0071] Such as figure 2 As shown, the present invention provides an image block adaptive recursive noise reduction device, comprising:

[0072] The decomposition module is used to divide the nth frame image x(n) into N×M sub-blocks, divide the noise reduction result y(n-1) of the n-1th frame image into N×M sub-blocks, and N and M are pre- set constant;

[0073] The motion detection module is used to perform motion detection on each sub-block corresponding to x(n) and y(n-1), obtain the motion parameter m of each sub-block of x(n), and judge x( Whether the sub-block of n) is a motion block;

[0074] The coefficient acquisition module is used to synthesize the adjacent sub-blocks belonging to the motion block in the sub-block of x(n) into a motion area; it is calculated by the image acquisition frequency parameter, the distance parameter between the sub-block and the motion area and the motion parameter m The noise reduction coefficient k of the front and back frames;

[00...

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Abstract

The present invention discloses an image blocking adaptive recursion noise reduction method. The method comprises: uniformly dividing a current image and the noise reduction result of a preview frame into a plurality of subblocks, performing motion detection of each subblock, and obtaining the motion parameter of each subblock; combining adjacent subblocks belonging to motion blocks into one motion region; calculating the noise reduction coefficient k of the preview frame and next frames through the image collection frequency parameters and the distance parameters and the motion parameters m of the subblocks and the motion region; and obtaining the noise reduction result of an nth frame image x(n) according to the noise reduction coefficient and a recursion noise reduction formula obtained through calculation. The present invention further discloses an image blocking adaptive recursion noise reduction device. Noise reduction parameters are adaptively regulated according to the noise level, the motion condition and the frame frequency of each block after doing difference and a distance between the current block and the motion region to effectively eliminate the motion trailing phenomenon and reduce the noise difference between blocks while the noise reduction effect in a stationary region is not decreased.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to an image block adaptive recursive noise reduction method and device. Background technique [0002] Image denoising, especially sequence images in medical images, generally adopts recursive filtering method. However, the simple recursive filtering process cannot take into account the elimination of noise and motion artifacts of moving images. For still image sequences, when the recursion coefficient is large, the recursion effect is better; but for moving image sequences, the content described by each frame image has a "misalignment" in the spatial position, and recursive noise reduction will cause image motion artifacts. [0003] In order to reduce motion artifacts, it is necessary to change the recursion coefficient according to the motion of the image. The greater the relative motion between two source images, the smaller the corresponding coefficient should be. Whe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/002
Inventor 赵书睿江春花滕万里周海华
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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